Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness

Abstract : Visual annotation is still an open issue. The Content Based community admits that a plurality of features and systems shall be considered. We present in this paper four very different strategies using not only visual information but also text, to implement ImageCLEF2009 Photo Annotation Task. The visual features are various, such as HSV, Gabor, EDGE, SIFT, and some more recent. Then we study each model performances, and propose a new measure, the Carefulness Index (Q) computed on the histogram of the model?s outputs. Q seems to be correlated with the model performances.
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Poster communications
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https://hal.archives-ouvertes.fr/hal-01126014
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Submitted on : Friday, March 6, 2015 - 11:36:38 AM
Last modification on : Thursday, March 28, 2019 - 2:16:24 PM

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  • HAL Id : hal-01126014, version 1

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Hervé Glotin, Ali Fakeri-Tabrizi, Philippe Mulhem, Marin Ferecatu, Zhong-Qiu Zhao, et al.. Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness. Image Cross Language Evaluation Forum (ImageClef 2009), Sep 2009, Corfu, Greece. ceur-ws.org, 1175, 2009, CEUR Workshop Proceedings. 〈hal-01126014〉

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